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Record W2186745986 · doi:10.1007/978-1-61779-452-0_22

A Neuron-Astrocyte Co-Culture System to Investigate Astrocyte-Secreted Factors in Mouse Neuronal Development

2011· article· en· W2186745986 on OpenAlexaff
Emma V. Jones, Denise Cook, Keith K. Murai

Bibliographic record

VenueMethods in molecular biology · 2011
Typearticle
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsMontreal General Hospital
Fundersnot available
KeywordsAstrocyteNeuronBiologyNeuroscienceHippocampal formationCell biologySecretionGenetically modified mouseIn vitroBiological neural networkEmbryonic stem cellCell cultureTransgeneCentral nervous systemEndocrinologyGeneticsGene

Abstract

fetched live from OpenAlex

Astrocytes secrete factors that promote neuron survival, synapse formation, and plasticity. Understanding how these factors perform these roles requires a robust in vitro system that can effectively assess the impact of individual glial factors on neuronal properties. A classical approach to studying neuron-glial interactions in vitro uses a system where dissociated embryonic rat neurons are suspended over a feeder layer of rat astrocytes. Here, we describe a useful "sandwich" co-culture system where postnatal mouse hippocampal neurons are grown suspended above a feeder layer of mouse hippocampal astrocytes. We demonstrate that neurons in these cultures remain healthy beyond 3 weeks in vitro and develop more synapses compared to neurons grown without astrocytes. An advantage of this method is that astrocytes and neurons can be prepared separately from postnatal transgenic or knock-out mouse lines allowing one to study, for example, how wild-type neurons develop in the presence of astrocytes from a knock-out mouse line that lacks the expression of a specific astrocyte-secreted factor. We find this culture system to be a convenient and powerful approach to study the contribution of astrocyte-secreted molecules to neuron development.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.251
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.073
GPT teacher head0.349
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations61
Published2011
Admission routes1
Has abstractyes

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